NeuroMotor PenTM Report

Published

March 12, 2023

Parkinson’s Disease Evaluation

Important

This report is intended to assist qualified Health Care Profesionals (HCP) in the assessment of an individual referred under the suspicion of having Parkinson’s Disease.

Clinical Context

This report presents several AI metrics derived from objective measures from individuals performing a battery of test using Manus Neurodynamica NeuroMotor PenTM.

These presented metrics combine factors from detailed measurement recordings made whilst the individual performs a battery of well established neurological test tasks.

The metrics have been assessed in a UK reference population and an individual’s results are presented in this clinical context. The HCP should review Clinical,Reference, Study et al [1] to establish applicability and limitations.

The information in this report should be used in the context of a full neurological assessment conducted to the current standard of care practices to establish a diagnosis.

Subject and Recording Details

Subject ID NMC043
Sex MALE
Dominant hand LEFT
Test date and time 2022-11-30 14:53
Test battery Circle, Spiral, Elel, FITTS Short Modified, FITTS Long Modified, ZigZag, ZigZag Offset
Operator comment OLD PATIENT MADOPAR 3X1\4

Overall Assessment

PD

Subject performance similar to PD population (recommend review of report details)

Clinical context

In the clinical reference population, 7 individuals with a value less than 0.53 were subsequently diagnosed with PD. That is, 16.67% of the PD diagnoses in the study.

Additionally, 0 individuals with a value greater or equal to 0.53 were subsequently diagnosed as non PD. That is, 0.0% of the non PD diagnoses in the study.

Symptom Scores

These mini boxplots show the scores in a clinical context. Currently against the ‘Walker study’ data. A bigger pool would be much better (so max 83 individuals, usually lower if raw data did not result in successful classification).

Micrographia

The micrographia symptom assessment is derived from a combination of factors in the elel task.

{'FN': 2, 'TN': 2, 'TP': 40, 'FP': 28}

Tremor

The tremor score is a combination of features in the circle, spiral and both zizag tasks.

{'FN': 24, 'TN': 20, 'TP': 18, 'FP': 10}

Bradykinesia

The bradykinesia score is a combination of features in the circle, spiral, both zizag and elel tasks.

{'FN': 23, 'TN': 13, 'TP': 19, 'FP': 17}

Spatial Accuracy

The accuracy score is a combination of factors in the spiral, both zigzags and both Fitts tasks.

{'FN': 16, 'TN': 10, 'TP': 26, 'FP': 20}

Test Battery Details

2023-03-12 20:53:49.330 | INFO     | neuromotor_pen.data:_parse_header:693 - Loading New Data Version...
ManusData_pd_NMC043_30112022031525.JSON

Circle

Circle Segment 1

Duration 10.48 s, Accuracy Estimate 0.955 (lower is better)

Circle Segment 2

Duration 10.4 s, Accuracy Estimate 1.518 (lower is better)

Circle Segment 3

Duration 10.6 s, Accuracy Estimate 1.351 (lower is better)

Circle Segment 4

Duration 11.8 s, Accuracy Estimate 0.832 (lower is better)

Circle Segment 5

Duration 13.0 s, Accuracy Estimate 0.992 (lower is better)

Circle Segment 6

Duration 13.64 s, Accuracy Estimate 1.056 (lower is better)

Circle Segment 7

Duration 14.08 s, Accuracy Estimate 0.916 (lower is better)

Circle Segment 8

Duration 13.44 s, Accuracy Estimate 1.361 (lower is better)

Circle Segment 9

Duration 12.0 s, Accuracy Estimate 0.852 (lower is better)

Circle Segment 10

Duration 10.6 s, Accuracy Estimate 2.024 (lower is better)

Spiral

Spiral Segment 1

Duration 36.16 s, Accuracy Estimate 1.69 (lower is better)

Spiral Segment 2

Duration 39.04 s, Accuracy Estimate 1.501 (lower is better)

Spiral Segment 3

Duration 34.64 s, Accuracy Estimate 1.57 (lower is better)

Spiral Segment 4

Duration 34.6 s, Accuracy Estimate 1.744 (lower is better)

Spiral Segment 5

Duration 36.48 s, Accuracy Estimate 1.65 (lower is better)

Spiral Segment 6

Duration 37.8 s, Accuracy Estimate 1.672 (lower is better)

Spiral Segment 7

Duration 36.44 s, Accuracy Estimate 1.657 (lower is better)

Elel

Elel Segment 1

Elel Segment 2

Elel Segment 3

Elel Segment 4

Elel Segment 5

Elel Segment 6

Elel Segment 7

Elel Segment 8

Elel Segment 9

Elel Segment 10

Elel Segment 11

Elel Segment 12

Elel Segment 13

Elel Segment 14

Elel Segment 15

FITTS Short Modified

FITTS Long Modified

ZigZag

ZigZag Segment 1

Duration 31.88 s, Accuracy Estimate 2.288 (lower is better)

ZigZag Segment 2

Duration 26.88 s, Accuracy Estimate 2.246 (lower is better)

ZigZag Segment 3

Duration 30.72 s, Accuracy Estimate 2.62 (lower is better)

ZigZag Segment 4

Duration 29.64 s, Accuracy Estimate 1.997 (lower is better)

ZigZag Segment 5

Duration 31.68 s, Accuracy Estimate 2.612 (lower is better)

ZigZag Offset

ZigZag Offset Segment 1

Duration 29.0 s, Accuracy Estimate 0.036 (lower is better)

ZigZag Offset Segment 2

Duration 24.04 s, Accuracy Estimate 0.042 (lower is better)

ZigZag Offset Segment 3

Duration 20.56 s, Accuracy Estimate 0.04 (lower is better)

ZigZag Offset Segment 4

Duration 20.72 s, Accuracy Estimate 0.033 (lower is better)

ZigZag Offset Segment 5

Duration 18.24 s, Accuracy Estimate 0.071 (lower is better)

Appendices

Misc

Currently a dumping ground for things that could be included or previous output style.

Note

Putting all the results out here but will not be in a final report.

HiSpec {‘HiSpec_class’: ‘NOT PD’, ‘HiSpec_score’: 0.79}
RanFor {‘RanFor_class’: ‘PD’, ‘RanFor_score’: 0.53}
BM_May22 {‘BM_May22_class’: ‘PD’, ‘BM_May22_score’: 0.9755263041421927}
BM_HC_Sep22 {‘BM_HC_Sep22_class’: ‘Patient’, ‘BM_HC_Sep22_score’: 0.940284778726769}
BM_PD_Sep22 {‘BM_PD_Sep22_class’: ‘PD’, ‘BM_PD_Sep22_score’: 0.6672511569026484}